Analysis of Accuracy Determination of the Seasonal Heat Demand in Buildings Based on Short Measurement Periods

In this paper, we present a multi-variant analysis of the determination of the accuracy of the seasonal heat demand in buildings. The research was based on the linear regression method for data obtained during short periods of measurement. The analyses were carried out using computer simulation, and...

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Bibliographic Details
Published in:Energies (Basel) 2018-10, Vol.11 (10), p.2734
Main Authors: Ferdyn-Grygierek, Joanna, Bartosz, Dorota, Specjał, Aleksandra, Grygierek, Krzysztof
Format: Article
Language:English
Subjects:
Air conditioning
Air infiltration
Airtightness
Alternative energy sources
building performance simulation
Buildings
Demand
Energy consumption
energy signature
Heat
HVAC
Infrastructure
Laboratories
Methods
multi-family building
Regression analysis
Renewable resources
Residential buildings
school building
School buildings
Temperature gradients
Ventilation
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Summary:In this paper, we present a multi-variant analysis of the determination of the accuracy of the seasonal heat demand in buildings. The research was based on the linear regression method for data obtained during short periods of measurement. The analyses were carried out using computer simulation, and the numerical models of the multifamily building and school building were used for the simulation. The simulations were performed using the TRNSYS, ESP-r, and CONTAM programs. The multi-zone models of the buildings were validated based on the measurement data. The impact of the building’s parameters (airtightness, insulation, and occupancy schedule) on the determination of the accuracy of the seasonal heat demand was analyzed. The analyses allowed guidelines to be developed for determining the seasonal energy consumption for heating and ventilation based on short periods of heat demand measurements and to determine the optimal duration of the measurement period.
ISSN:1996-1073
1996-1073
DOI:10.3390/en11102734